irishev / DSPLinks
PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)
☆25Updated last year
Alternatives and similar repositories for DSP
Users that are interested in DSP are comparing it to the libraries listed below
Sorting:
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆11Updated 3 years ago
- ☆34Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Updated 3 years ago
- ☆45Updated last year
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- ☆12Updated last year
- ☆22Updated 7 months ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- In progress.☆64Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated 8 months ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 2 years ago
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆39Updated 2 years ago
- [ICCV 2023] Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks☆24Updated last year
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆39Updated 3 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆89Updated 2 years ago
- ☆12Updated last year
- ☆21Updated last year
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆32Updated 9 months ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆36Updated last year
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆52Updated last year
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆19Updated 3 years ago
- ☆13Updated 11 months ago
- The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"☆23Updated 6 months ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 3 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Updated 7 months ago
- ☆16Updated 2 years ago
- ☆47Updated 2 years ago